Cast Int4->Float32 bench

PiperOrigin-RevId: 561274977

tensorflow/lite/kernels/BUILD

@@ -1292,12 +1292,28 @@ cc_test(
     ],
 )
 
+cc_library(
+    name = "cast_test_common",
+    testonly = 1,
+    hdrs = [
+        "cast_test_common.h",
+    ],
+    deps = [
+        ":test_util",
+        "//tensorflow/lite:string",
+        "//tensorflow/lite/schema:schema_fbs",
+        "@com_google_absl//absl/types:span",
+        "@flatbuffers",
+    ],
+)
+
 cc_test(
     name = "cast_test",
     size = "small",
     srcs = ["cast_test.cc"],
     tags = ["tflite_nnapi"],
     deps = [
+        ":cast_test_common",
         ":test_main",
         ":test_util",
         "//tensorflow/lite/core/c:c_api_types",

tensorflow/lite/kernels/cast_test.cc

@@ -24,6 +24,7 @@ limitations under the License.
 #include "absl/types/span.h"
 #include "flatbuffers/flatbuffers.h"  // from @flatbuffers
 #include "tensorflow/lite/core/c/c_api_types.h"
+#include "tensorflow/lite/kernels/cast_test_common.h"
 #include "tensorflow/lite/kernels/test_util.h"
 #include "tensorflow/lite/schema/schema_generated.h"
 
@@ -32,28 +33,6 @@ namespace {
 
 using ::testing::ElementsAreArray;
 
-class CastOpModel : public SingleOpModel {
- public:
-  CastOpModel(const TensorData& input, const TensorData& output) {
-    input_ = AddInput(input);
-    output_ = AddOutput(output);
-    SetBuiltinOp(BuiltinOperator_CAST, BuiltinOptions_CastOptions,
-                 CreateCastOptions(builder_).Union());
-    BuildInterpreter({GetShape(input_)});
-  }
-
-  void Set4BitInput(absl::Span<const int8_t> f) {
-    PopulateTensor4bit(input_, 0, f.data(), f.data() + f.size());
-  }
-
-  int input() const { return input_; }
-  int output() const { return output_; }
-
- protected:
-  int input_;
-  int output_;
-};
-
 TEST(CastOpModel, CastInt4ToFloat) {
   CastOpModel m({TensorType_INT4, {2, 3}}, {TensorType_FLOAT32, {2, 3}});
   m.Set4BitInput({1, 2, 3, 4, 5, 6});

tensorflow/lite/kernels/cast_test_common.h

+/* Copyright 2023 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+#ifndef TENSORFLOW_LITE_KERNELS_CAST_TEST_COMMON_H_
+#define TENSORFLOW_LITE_KERNELS_CAST_TEST_COMMON_H_
+
+#include <stdint.h>
+
+#include <vector>
+
+#include "absl/types/span.h"
+#include "tensorflow/lite/kernels/test_util.h"
+#include "tensorflow/lite/schema/schema_generated.h"
+
+namespace tflite {
+
+using ::testing::ElementsAreArray;
+
+class CastOpModel : public SingleOpModel {
+ public:
+  CastOpModel(const TensorData& input, const TensorData& output) {
+    input_ = AddInput(input);
+    output_ = AddOutput(output);
+    SetBuiltinOp(BuiltinOperator_CAST, BuiltinOptions_CastOptions,
+                 CreateCastOptions(builder_).Union());
+    BuildInterpreter({GetShape(input_)});
+  }
+
+  void Set4BitInput(absl::Span<const int8_t> f) {
+    PopulateTensor4bit(input_, 0, f.data(), f.data() + f.size());
+  }
+
+  int input() const { return input_; }
+  int output() const { return output_; }
+
+ protected:
+  int input_;
+  int output_;
+};
+
+}  // namespace tflite
+#endif  // TENSORFLOW_LITE_KERNELS_CAST_TEST_COMMON_H_